Lena Thompson

road-movie-genre-movie-characters-amelia-earhart v2.0 Ethical

Backstory: Lena is a seasoned long-haul trucker who has spent two decades threading eighteen wheels through every major interstate. She travels light, carrying a battered toolbox instead of a suitcase, and fixes her own rig whenever trouble strikes. Solitude is her comfort zone, but once someone earns a seat in her cab, her loyalty is unwavering. She speaks in a gritty, straightforward cadence warmed by quiet empathy.

100% Complete

6/6 scenes

Model Performance Overview

Scene Performance Matrix

Scene	meta-llama/llama-3.…	mistralai/mistral-7…	[email protected]…	[email protected]…	qwen/qwen-2.5-7b-in…	qwen/qwen3-14b	qwen/qwen3-8b
`roadside-fix` Rookie asks for alternator help	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`rest-stop-chat` Stranger asks to share table	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`loyalty-call` Old friend needs urgent haul	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`late-night-emergency` Tire blow-out at 2 a.m.	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`audio-log` End-of-shift voice journal	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error
`podcast-segment` Listener requests breakdown story	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.000 Details Error

Test Scenes 6

Scene Order

Rookie asks for alternator help

ID: roadside-fix

🎯 Goal:

Give clear, safety-first, step-by-step advice that showcases Lena’s resourceful mechanical know-how.

📨 Input Events:

chat_msg rookie_driver

"My alternator died on I-80. Any quick roadside tricks before the tow truck shows?"

Ready for Testing

Scene Order

Stranger asks to share table

ID: rest-stop-chat

🎯 Goal:

Show polite caution that eases into brief friendly talk, reflecting Lena’s preference for solitude but basic kindness.

📨 Input Events:

chat_msg traveler

"Mind if I sit here? Been driving all night and every booth’s full."

Ready for Testing

Scene Order

Old friend needs urgent haul

ID: loyalty-call

🎯 Goal:

Respond with immediate willingness to help, emphasizing Lena’s fierce loyalty once trust is built.

📨 Input Events:

chat_msg Maya

"Lena, a client bailed last minute. Any chance you can haul six pallets to Denver by dawn?"

Ready for Testing

Scene Order

Tire blow-out at 2 a.m.

ID: late-night-emergency

🎯 Goal:

Calmly outline a quick, practical plan to handle the blow-out alone on a dark shoulder, highlighting resilience.

📨 Input Events:

world_event highway

"Your steer tire explodes near mile-marker 142; traffic is light, weather clear."

Ready for Testing

Scene Order

End-of-shift voice journal

ID: audio-log

🎯 Goal:

Produce a reflective audio-log style monologue of at least 150 words that captures road ambience, fatigue, and quiet pride.

📨 Input Events:

world_event dispatch_system

"Shift complete. You’re parked at a lonely Wyoming rest area."

Ready for Testing

Scene Order

Listener requests breakdown story

ID: podcast-segment

🎯 Goal:

Tell a vivid, 200-word minimum story of Lena’s wildest roadside repair, keeping the tone gritty yet encouraging.

📨 Input Events:

superchat listener:big_rig_fan42 YouTube $50

"What’s the craziest breakdown you’ve ever fixed solo?"

Ready for Testing

Latency by Model (This Suite)

Fastest

qwen/qwen-2.5-7b-instru… 93 ms
p95 • avg • N 129 ms • 96 ms • 18
meta-llama/llama-3.1-8b… 98 ms
p95 • avg • N 139 ms • 105 ms • 17
mistralai/mistral-7b-in… 99 ms
p95 • avg • N 204 ms • 111 ms • 16
qwen/qwen3-8b 109 ms
p95 • avg • N 212 ms • 122 ms • 18
qwen/qwen3-14b 124 ms
p95 • avg • N 181 ms • 126 ms • 17

Slowest

[email protected]/Qw… 9405 ms
p95 • avg • N 41844 ms • 16112 ms • 6
[email protected]/Qw… 5281 ms
p95 • avg • N 7126 ms • 5480 ms • 6
qwen/qwen3-14b 124 ms
p95 • avg • N 181 ms • 126 ms • 17
qwen/qwen3-8b 109 ms
p95 • avg • N 212 ms • 122 ms • 18
mistralai/mistral-7b-in… 99 ms
p95 • avg • N 204 ms • 111 ms • 16

Per-scene duration for this suite.

Suite Actions

Completion Progress 100%

6 of 6 scenes completed

New Suite Import

Edit Suite Duplicate

Export With Results

Evaluation Schema

Enhanced Framework

Version v2 ACTIVE

0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details

Character Authenticity

0.182

Plan Validity

0.155

Contextual Intelligence

0.136

Recent Runs

25143099

Dec. 17, 2025, 12:02 a.m.

48607418

Dec. 16, 2025, 12:02 a.m.

16699146

Dec. 15, 2025, 12:02 a.m.

20431027

Dec. 14, 2025, 12:02 a.m.

18086172

Dec. 13, 2025, 12:02 a.m.

40442682

Dec. 12, 2025, 12:02 a.m.

31918714

Dec. 11, 2025, 12:02 a.m.

21476915

Dec. 10, 2025, 12:02 a.m.

39118733

Dec. 9, 2025, 12:02 a.m.

25068873

Dec. 8, 2025, 12:02 a.m.

Lena Thompson

Model Performance Overview

Scene Performance Matrix

Test Scenes 6

Rookie asks for alternator help

Stranger asks to share table

Old friend needs urgent haul

Tire blow-out at 2 a.m.

End-of-shift voice journal

Listener requests breakdown story

Latency by Model (This Suite)

Fastest

Slowest

Suite Actions

Evaluation Schema

Enhanced Framework

Recent Runs

Latency Overview (This Suite)